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students, and to work across a range of applications of network science and complex systems, both within and outside of the lab. The successful candidates will: Have an MSc (or equivalent) in Physics
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drift, environmental stochasticity, and double crossovers). • Study the complex feedback loops between the evolution of genetic load within inversions and the spatial dynamics of multiple inversions
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PhD Scholarship Opportunity - 3Rivers Doctoral Network – Climate-Resilient Urban Transformations in the Asia-Pacific Job no.: 692944 Faculty: Faculty of Art, Design & Architecture (MADA) Location
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models for the analysis of complex longitudinal data with repeated measurements, especially in neuroimaging and interventional neuroscience. Key topics include: linear and nonlinear mixed models with fixed
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insights. Information Statistical modelling of multiple omics datasets is a lively and rapidly developing research area. Ongoing technological advances make it possible to measure multiple biological data
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knowledge quarters has positioned cities as key sites for economic growth, technological advancement, and sustainable development. However, these environments are inherently complex, involving multiple
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admissions for COPD increased by 9% across England, with particularly high rates in specific regional areas such as rural and coastal areas. This project takes a holistic view, considering the complex
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proficiency in Python. Knowledge in Statistical physics and Network science, and interest in complex networks and interdisciplinary research are a plus. The position is for 3 years, and will be located
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PhD fellowship 2 – Alexander von Humboldt and French-German Networks in the Early History of Ecology
of ecological thought in 19th-century European evolutionism 2. Its philosophical sources in the German tradition (e.g., Kant, Humboldt, Goethe) 3. Its complex reception in Germany and beyond 4. Its contemporary
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Funding provider: Sony CSL - Paris Project start date:Flexible before October 2026 Supervisors (*lead): Aligned programme of study: PhD in Network Science About the Complex Connections Lab